Predictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time

Abstract Obstructive sleep apnea (OSA) is a highly prevalent condition worldwide. Untreated, it is associated with multiple medical complications as well as a reduced quality of life. Home sleep apnea tests are increasingly used for its diagnosis and evaluation of severity, but using total bed time...

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Autores principales:	Wei Yang Lim, Kay Choong See
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4d3127cce71a4157bd5d226a812c5260
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spelling	oai:doaj.org-article:4d3127cce71a4157bd5d226a812c52602021-12-02T15:03:05ZPredictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time10.1038/s41598-021-90818-y2045-2322https://doaj.org/article/4d3127cce71a4157bd5d226a812c52602021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90818-yhttps://doaj.org/toc/2045-2322Abstract Obstructive sleep apnea (OSA) is a highly prevalent condition worldwide. Untreated, it is associated with multiple medical complications as well as a reduced quality of life. Home sleep apnea tests are increasingly used for its diagnosis and evaluation of severity, but using total bed time rather than total sleep time may underestimate OSA severity. We aim to uncover the extent and predictors of OSA misclassification when using total bed time. A retrospective observational study was conducted using data from the sleep laboratory of the National University Hospital, Singapore, a tertiary hospital with 1200 beds. Misclassification of OSA was defined as any OSA severity that was less severe using total bed time versus total sleep time. Logistic regression was used to identify predictors of OSA misclassification. A total of 1621 patients were studied (mean age 45.6 ± 15.9 years; 73.4% male). 300 (18.5%) patients were misclassified. Risk factors for OSA misclassification included age (OR 1.02, 95% CI 1.01–1.03, P = 0.001) and body-mass index (BMI) (OR 0.97, 95% CI 0.95–0.99, P = 0.015). Risk for misclassification was significant in patients aged ≥ 57 years old, with BMI < 32.3 kg/m2. Using total bed time rather than total sleep time to quantify OSA severity was associated with a significant risk of misclassification, particularly in patients aged ≥ 57 years old, with BMI < 32.3 kg/m2.Wei Yang LimKay Choong SeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wei Yang Lim Kay Choong See Predictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time
description	Abstract Obstructive sleep apnea (OSA) is a highly prevalent condition worldwide. Untreated, it is associated with multiple medical complications as well as a reduced quality of life. Home sleep apnea tests are increasingly used for its diagnosis and evaluation of severity, but using total bed time rather than total sleep time may underestimate OSA severity. We aim to uncover the extent and predictors of OSA misclassification when using total bed time. A retrospective observational study was conducted using data from the sleep laboratory of the National University Hospital, Singapore, a tertiary hospital with 1200 beds. Misclassification of OSA was defined as any OSA severity that was less severe using total bed time versus total sleep time. Logistic regression was used to identify predictors of OSA misclassification. A total of 1621 patients were studied (mean age 45.6 ± 15.9 years; 73.4% male). 300 (18.5%) patients were misclassified. Risk factors for OSA misclassification included age (OR 1.02, 95% CI 1.01–1.03, P = 0.001) and body-mass index (BMI) (OR 0.97, 95% CI 0.95–0.99, P = 0.015). Risk for misclassification was significant in patients aged ≥ 57 years old, with BMI < 32.3 kg/m2. Using total bed time rather than total sleep time to quantify OSA severity was associated with a significant risk of misclassification, particularly in patients aged ≥ 57 years old, with BMI < 32.3 kg/m2.
format	article
author	Wei Yang Lim Kay Choong See
author_facet	Wei Yang Lim Kay Choong See
author_sort	Wei Yang Lim
title	Predictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time
title_short	Predictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time
title_full	Predictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time
title_fullStr	Predictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time
title_full_unstemmed	Predictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time
title_sort	predictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4d3127cce71a4157bd5d226a812c5260
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Predictors of obstructive sleep apnea misclassification when using total bed time versus total sleep time

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